Implementation of MobileNet in a CNN based digital integrated circuit
US10360470B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 2, 2018 |
| Grant date | Jul 23, 2019 |
| Priority date | — |
| Expiry date | Mar 2, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/955
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Method and systems of replacing operations of depthwise separable filters with first and second replacement convolutional layers are disclosed. Depthwise separable filters contains a combination of a depthwise convolutional layer followed by a pointwise convolutional layer with input of P feature maps and output of Q feature maps. The first replacement convolutional layer contains P×P of 3×3 filter kernels formed by placing each of the P×1 of 3×3 filter kernels of the depthwise convolutional layer on respective P diagonal locations, and zero-value 3×3 filter kernels zero-value 3×3 filter kernels in all off-diagonal locations. The second replacement convolutional layer contains Q×P of 3×3 filter kernels formed by placing Q×P of 1×1 filter coefficients of the pointwise convolutional layer in center position of the respective Q×P of 3×3 filter kernels, and numerical value zero in eight perimeter positions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.